Home
Courses
Oracle
Java
Python
Profesisonal Sales Course
Register
Mega Job Mela
About Us
Contact Us
Login
✕
Home
All Courses
Python
Python Full Stack Development and Data Analysis and Visualization Course
Python Full Stack Development and Data Analysis and Visualization Course
Curriculum
35 Sections
160 Lessons
45 Days
Expand all sections
Collapse all sections
Module 1: Introduction / Demo
4
1.1
How is Python? (History)
1.2
What is Python?
1.3
Why is Python?
1.4
Where is Python?
Module 2: Development Setup
5
2.1
Install Python
2.2
Install Git (Django)
2.3
Install PyCharm (Django)
2.4
Create GitHub repository (Django)
2.5
Virtual Environment Setup
Module 3: Variables and Data Type
6
3.1
Python Fundamentals (***)
3.2
Variables
3.3
Data types: String, Integer, Boolean, Float
3.4
None Type
3.5
Operators (***)
3.6
Data Structure: List, Dictionary, Tuple, Array, Set
Module 4: Statement
5
4.1
Conditional Statement
4.2
Looping Statement
4.3
Nested Loop
4.4
Control Looping
4.5
Break and Continue, pass(**)
Module 5: Numbers & Arrays in Python (***)
2
5.1
Numbers (math-module & random-module)***
5.2
Array-module(***)
Module 6: Collections (Data-Structures) in Python (***)
6
6.1
String in Python***
6.2
List in Python***
6.3
Tuple in Python***
6.4
Set in Python***
6.5
FrozenSet in Python***
6.6
Dictionary in Python***
Module 7: User Defined Function
4
7.1
Types of Functions (Function with/without Parameter and/or return value)
7.2
Unnamed and Named Parameters
7.3
Create User Defined Function
7.4
Anonymous Lambda Function
Module 8: Date & Time in Python (***)
3
8.1
Time module(***)
8.2
Calendar module(***)
8.3
Datetime module(***)
Module 9: Modules & Packages (***)
2
9.1
User-defined Modules(***)
9.2
User-defined Packages(***)
Module 10: Generator and Decorator
4
10.1
Iterator
10.2
Generator
10.3
Nested Function
10.4
Decorator
Module 11: OOPs with Python (***)
16
11.1
What is OOPs
11.2
OOPs implemented in Python
11.3
Inheritance and Polymorphism
11.4
Operator and Method overriding
11.5
Create Class and Core Python Object
11.6
Class Attributes
11.7
OOPS Abstraction(***)
11.8
Abstract classes & Interfaces(***)
11.9
Constructors & Destructors(***)
11.10
Garbage Collection(***)
11.11
Polymorphism Duck Typing(***)
11.12
Operator Overloading with magic-methods(***)
11.13
Inheritance super() method(***)
11.14
Inner-classes(***)
11.15
Types of Variables & Methods in Python class(***)
11.16
Self (sp-variable in Python class)***
Module 12: Exception Handling and Built in Functions
5
12.1
Basic Exception Handling
12.2
Try…Except…Else…Finally
12.3
Debugging Errors
12.4
Built in functions: String Related Functions, Integer Related Functions, Data Structure Related Functions, Common Functions
12.5
Built in Modules: OS related Module, Mathematical Modules
Module 13: File Systems and File Handling
5
13.1
Write to a File
13.2
Read from a File
13.3
Check File and Copy File
13.4
Pickle Module
13.5
Working with Directories
Module 14: Threading and Multithreading
6
14.1
What is threading
14.2
What is Multithreading?
14.3
Different ways of Creating Threads
14.4
Thread Synchronization
14.5
Locks and Semaphores
14.6
Thread Communication
Module 15: Data Operations using Python (PDBC)***
7
15.1
Create a database
15.2
Working with MySQL Database or Oracle Database
15.3
Python Database connection
15.4
PDBC Steps
15.5
PDBC Modules & its Methods
15.6
Create a tables
15.7
CRUD operations – Create, Read, Update, Delete
Module 16: Regular Expressions
4
16.1
Regular Expression Module
16.2
Regular Expression Methods
16.3
Quantifiers
16.4
Special Characters
Module 17: Python Web Frameworks
4
17.1
What is Framework?
17.2
Full stack Framework
17.3
Django Overview
17.4
MVT Architecture of Django
Module 18: Django Web Application Development
5
18.1
Introduction to Web development and Django
18.2
Django & PyCharm IDE Installation and
18.3
Development of First Web Application
18.4
Working with PyCharm IDE
18.5
Downloading, Installing, First-Project in IDE
Module 19: Django HTML
1
19.1
Django Templates and Static Files
Module 20: Django Model classes (Database)
1
20.1
Working with Models and Databases
Module 21: Django Forms & Validations
3
21.1
Working with Django Forms
21.2
Working with Django Model Forms
21.3
Working with Advanced Template Features
Module 22: Django Sessions & User Auths
2
22.1
Session Management
22.2
User Authentication and Authorization
Module 23: Django CRUD Operations
1
23.1
Class Based Views and CRUD Operations by using both CBVs and FBVs
Module 24: Django ORM (Object Relation Mapping)
2
24.1
Django ORM (MYSQL Database or SQLite3 or Oracle DB)
24.2
Working with Advanced Model Concepts
Module 25: Django Middleware & Live Project Development
3
25.1
Working with Django Middleware
25.2
Deployment of our application in the Live Environment
25.3
Real Time Project: Web Application Development
Module 26: Django Admin and Views
4
26.1
Overview of default Django Admin site
26.2
Add models on Admin Page
26.3
User Permissions and Groups
26.4
Overview of Django Views
Module 27: HTML Crash Course
8
27.1
Introduction to HTML
27.2
HTML Tags
27.3
HTML Lists
27.4
Divs and Span
27.5
Attributes
27.6
HTML Tables
27.7
HTML Forms
27.8
Exercises
Module 28: CSS Crash Course
8
28.1
Introduction to CSS
28.2
CSS Colors
28.3
CSS Backgrounds and Borders
28.4
CSS Selectors
28.5
CSS Specificity
28.6
CSS Fonts
28.7
CSS Box Model
28.8
Exercises
Module 29: JavaScript Crash Course
8
29.1
Introduction to JS
29.2
Connecting JS
29.3
Control Flow in JS
29.4
While loop and for loop in JS
29.5
Functions in JS
29.6
Arrays in JS
29.7
Objects in JS
29.8
Exercises
Module 30: Bootstrap Crash Course
5
30.1
Introduction to Bootstrap
30.2
Buttons
30.3
Forms
30.4
Navbars
30.5
Grids
Module 31: Data Analysis – Numpy (Datascience)
5
31.1
Introduction to Numpy
31.2
Numpy Arrays
31.3
Numpy Array Indexing
31.4
Numpy Operations
31.5
Numpy Exercises
Module 32: Data Analysis – Pandas (Datascience)
8
32.1
Introduction to Pandas
32.2
Series
32.3
Data Frames
32.4
Missing data and Group By
32.5
Merging Joining and Concatenation
32.6
Operations
32.7
Data Input and Output
32.8
Pandas Exercises
Module 33: Data Visualization - Matplotlib (Datascience)
4
33.1
Introduction to Data Visualization
33.2
Introduction to Matplotlib
33.3
Matplotlib plots Methods – Functional and Object Oriented
33.4
Subplots
Module 34: Data science Scikit/ SciPy
1
34.1
Working with Scikit or SciPy modules
Module 35: Projects
3
35.1
Website Project using Python django Framework
35.2
Deploying Python Django on Live Server on Internet
35.3
(Live Website on Internet) www.yourwebsite.com
This content is protected, please
login
and
enroll
in the course to view this content!
Modal title
Main Content